code: def forward(self, hidden_states):
      hidden_states = self.dropout(hidden_states)
      logits = self.mlp(hidden_states[:, self._idx_conditioned_on])
      return logits
  
file_path: NeMo/nemo/collections/nlp/modules/common/sequence_classifier.py
imports: from typing import Dict, Optional
  from nemo.collections.common.parts import MultiLayerPerceptron
  from nemo.collections.nlp.modules.common.classifier import Classifier
  from nemo.core.classes import typecheck
  from nemo.core.neural_types import LogitsType, LogprobsType, NeuralType
label_desc: Use image node_id 3 for calling the SequenceClassifier obj's underlying member method code with example usage: obj.forward(hidden_states) and returns: logits